Members
Supervisor: Prof. Wansu Lim
Visiting Scholar:
Prof. Xiaoyong Guo (Tianjin University of Science and Technology )
FPGA-Based Deep Learning Research
Designing deep neural network accelerators on FPGAs to enhance computational performance and energy efficiency
Efficient optimization methods on FPGAs to reduce the computational complexity of AI models, enabling faster processing and lower power consumption
Battery State Management
Reinforcement learning-based energy management in electric vehicles
Lightweight machine learning/deep learning models for embedded systems
Communication Systems and Networks
Research on deep learning-based modulation and channel coding
Traffic control and management for autonomous underwater vehicles
Applications of neural architecture search in communication systems